Table 2

AI functions in the optimization of design

AI functions (transcription codes)Selected quotes
Optimizing building designs“Use of computational design by training a machine learning (ML) model to optimize or predict design elements. Taking data from the previous designs to train the model and design algorithms.” (Int #7)
“AI allows designers to significantly optimize the design.” (Int #1)
“Use AI as a statistical tool to help design not necessarily on the visual aspect, but maybe some optimization that you can do with AI.” (Int #4)
“Deploy computational design methodologies and use optimization algorithms to come up with design solutions.” (Int #6)
“If you take like the recipes from the previous designs and you train a computer model based on all of that prior experience, the model is able to predict or produce an optimized design.” (Int #7)
“It can give you the pros and cons, and it could suggest spatial rearrangements of buildings for optimization.” (Int #8)
“We created kind of fitness functions so we could tweak what the AI or the algorithm considered good or bad designs. It would be able to analyze and assess them.” (Int #6)
Suggesting energy-efficient designs“Computational design can suggest energy efficient design.” (Int #3)
Generating building design“Use AI in apartment layouts and the floor plans and giving you lots of options to pick from as a designer.” (Int #2)
“Image generators for inspiration, maybe Midjourney is one that I find more inspiring imagery, and it’s a bit more difficult to use. [Moreover] Grasshopper or Dynamo for automation design.” (Int #3)
“There are some tools out there like Layout. Having the whole host of things that are doing like internal design layouts and usually using AI.” (Int #8)
“Using genetic generative and adversarial network to create new data for assisting in generating building layouts and floor plans. It is all done by Midjourney.” (Int #6)
“High pub is an online computational platform, which has created a prompt-based, generative building designer.” (Int #3)
“If you want to design a product, we can use AI or ML to have different design options. And based on the LLM, we can produce some factors.” (Int #5)
“Generative design is already well established in CAD tools like Autodesk. This is not a data challenge; it is more about setting up vectors or ranges of constraints in graphs and for things like human interaction, weather, earthquakes, and physics for load-bearing or longevity.” (Int #9)
“I think that we can create different graphs, different progress, or different design solutions based on how you modify certain constraints.” (Int #4)
“The current computational design is more about the computer being used to generate a generative AI process to generate permutations and combinations of designs, then assess them and determine which is the best one based on previous data.” (Int #7)
Optimizing building cost“Use AI to look at what the available materials are and try and run generative models to see how much the cost of potential developments could be impacted”. (Int #3)
Optimizing structural engineering calculation“Make the structural engineering calculation process much more efficient through some sort of ML model.” (Int #2)
Simplifying/improving modeling processes“Use of AI simplifies computationally complex modeling processes.” (Int #1)
“Within the software (use ML techniques), we streamline a whole range of really demanding computationally demanding routines, thus improving our modeling capabilities.” (Int #1)
Simulating loading conditions“Use AI to simulate the loading condition of the specific design based on the lifetime of our current data and information.” (Int #2)

Source(s): Authors’ own work

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